CH1 Course Outline v1 150517.Pptx
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Transcript of CH1 Course Outline v1 150517.Pptx
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Course Outline
Peter Dannenmann, Georg Fries, Karin Grslund, Patrick Metzler, Michael Schmidt, Andreas Zinnen
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Dr. Georg Fries Modelling and Simulation using MATLAB 2
Course Outline
Chapter 1: Introduction to MATLAB Concepts (starting Mai 21st, 2015)
The MATLAB User Interface Commands Plotting Numbers Variables, Arrays and Matrices Scripts and Functions Control Flow Examples
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Dr. Peter Dannenmann Modelling and Simulation using MATLAB 3
Course Outline
Chapter 2: Modelling and Simulation (starting Mai 28th, 2015)
Background information on the applications of simulation techniques
Classification of simulation systems
Basic simulation and modelling techniques
The Model Development Life Cycle
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Dr. Patrick Metzler Modelling and Simulation using MATLAB 4
Course Outline
Chapter 3: The Basic Problem Solving Toolbox (starting June 4th, 2015)
Toolbox for Solving Formal Problems
Analogies
Definitions
Divide and Conquer
Exchange of Given and Looked For
Plausibility Tests
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Dr. Patrick Metzler Modelling and Simulation using MATLAB 5
Course Outline
Chapter 4: Advanced Problem Solving Methods (starting June 11th, 2015)
Brute Force
Least Squares
Monte Carlo
Bridge Problem
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Dr. Georg Fries Modelling and Simulation using MATLAB 6
Course Outline
Chapter 5: Statistics and Image Processing (starting June 18th, 2015)
Random Numbers Descriptive Statistics
Mean, Median, Mode Probability Density Function pdf Cumulative Distribution Function cdf Random Number Generation Intensity Transformation Spatial Filtering
Smoothing, Sharpening, Unsharp Masking Image Enhancement
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Modelling and Simulation using MATLAB 7
Elective Chapters
Instance Based Machine Learning in a Nutshell
Optical Character Recognition
Modelling a Business Case
Knowledge Management
Course Outline
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8 Dr. Andreas Zinnen Modelling and Simulation using MATLAB
Required Previous Chapter: Statistics and Image Processing k-means clustering k-nearest neighbours
Regression analysis/classification Density estimation
Novelty detection using KDE Nadaraya Watson and Silverman
Cross validation Model evaluation
Course Outline
Elective Chapter: Instance Based Machine Learning in a Nutshell
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Dr. Georg Fries Modelling and Simulation using MATLAB 9
Course Outline
Elective Chapter: Optical Character Recognition
Theoretical principle of the Tesseract Engine
Training of your own font
Hands on: License Plate Recognition using OCR
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Dr. Karin Grslund Modelling and Simulation using MATLAB 10
Course Outline
Elective Chapter: Modelling a Business Case
Overview on Modelling Business Cases
Workshop on Design Thinking
Calculating a Business Case
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Dr. Michael Schmidt Modelling and Simulation using MATLAB 11
Course Outline
Elective Chapter: Knowledge Management
Knowledge is THE critical factor for successful technological developments.
In simulation and modeling experts need to share their knowledge to achieve synergies. This means explicating tacit knowledge.
As it is a most success-critical resource, we need to find out how we can make knowledge available to the development processes in simulation and modeling.